Job Location: Seattle, WA
Summary
Posted: Jun 3, 2022
Role Number:200376497
The Apple Media Products Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. We are seeking an extraordinary Machine Learning Engineer to join our team, innovate and craft the foundation of ML engineering to make our ML solutions secure, private, performant and scalable. Our team is geographically diverse. We’re looking for someone whose “people skills” complement their technical skills, someone who loves improving things as much as building things, and someone who is passionate about discovering new ways to accelerate the rate at which we can improve our products. If this sounds like you, join our team!
Key Qualifications
- 5 – 7+ years of ML-related engineering experience
- Expert in Java/Scala or Python, proficient in other languages is a plus
- Experience in implementing Machine Learning based applications
- Experience with developing large-scale ML infrastructure, such as services, frameworks or tooling
- Solid understanding of Machine Learning algorithms, models and experience with deep learning frameworks is desired
- Proficiency in Spark, and experience with Hadoop or other big data processing technologies
- Strong object-oriented design skills, coupled with a proven understanding of data structures and algorithms
- Excellent communication skills for requirement gathering and clarification
- Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion
Description
You will research and develop innovative ML solutions for challenging problems that will impact Apple Media Products. Whether it’s solving a problem for a specific product, or research and develop tools that can change how we do MLOps generally, you have the opportunity to work on a variety and unique set of problems by leveraging state of the art ML technologies. From unsupervised learning techniques to semi-supervised, supervised and deep learning. You have the opportunity to dive into those spaces and explore how we can make our products better. Partnership matters— You are a strong technology leader, you will collaborate with broader teams across Apple and influence on our design decisions by contributing to design discussions, and are able to both give and receive constructive feedback. You will also have opportunities to provide technical mentorship and guidance to help shape and grow the team. Quality is important — you will be working in a highly collaborative environment that strives to make our products better, participating and influencing on how we do ML engineering here to improve quality of our products. From design discussions, code reviews, writing code that is robust, reusable, testable and maintainable, all the way to make sure our products are performant and scalable.
Education & Experience
PhD or Master’s degree in Machine Learning, Computer Science, Computer Engineering, or equivalent experience.
Additional Requirements
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